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ECCouncil 312-97 Exam Syllabus Topics:

TopicDetails
Topic 1
  • DevSecOps Pipeline - Plan Stage: This module covers the planning phase, emphasizing security requirement identification and threat modeling. It highlights cross-functional collaboration between development, security, and operations teams to ensure alignment with security goals.
Topic 2
  • DevSecOps Pipeline - Build and Test Stage: This module explores integrating automated security testing into build and testing processes through CI pipelines. It covers SAST and DAST approaches to identify and address vulnerabilities early in development.
Topic 3
  • Introduction to DevSecOps: This module covers foundational DevSecOps concepts, focusing on integrating security into the DevOps lifecycle through automated, collaborative approaches. It introduces key components, tools, and practices while discussing adoption benefits, implementation challenges, and strategies for establishing a security-first culture.
Topic 4
  • DevSecOps Pipeline - Operate and Monitor Stage: This module focuses on securing operational environments and implementing continuous monitoring for security incidents. It covers logging, monitoring, incident response, and SIEM tools for maintaining security visibility and threat identification.
Topic 5
  • DevSecOps Pipeline - Code Stage: This module discusses secure coding practices and security integration within the development process and IDE. Developers learn to write secure code using static code analysis tools and industry-standard secure coding guidelines.
Topic 6
  • DevSecOps Pipeline - Release and Deploy Stage: This module explains maintaining security during release and deployment through secure techniques and infrastructure as code security. It covers container security tools, release management, and secure configuration practices for production transitions.

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ECCouncil EC-Council Certified DevSecOps Engineer (ECDE) Sample Questions (Q11-Q16):

NEW QUESTION # 11
Terry Diab has been working as a DevSecOps engineer in an IT company that develops software products and web applications for a call center. She would like to integrate Snyk with AWS CodeCommit to monitor and remediate vulnerabilities in the code repository. Terry pushed code to AWS CodeCommit; this triggered Amazon EventBridge Rule, which then triggered AWS CodePipeline. AWS CodePipeline passed code to Snyk CLI run. Who among the following interacts with Snyk CLI and sends the results to Snyk UI?

Answer: C

Explanation:
In an AWS CI/CD architecture, AWS CodePipeline acts as an orchestration service that coordinates different stages but does not execute build or scan commands itself. AWS CodeBuild is the service responsible for running commands such as compiling code, executing tests, and running third-party security tools like the Snyk CLI. In Terry's workflow, CodeCommit stores the source code, EventBridge triggers the pipeline, and CodePipeline passes the source to CodeBuild. CodeBuild then executes the Snyk CLI, performs vulnerability scanning, and sends the scan results to the Snyk UI using the configured authentication token. AWS CodeDeploy is focused on application deployment and does not interact with Snyk CLI. Therefore, AWS CodeBuild is the component that interacts with Snyk CLI and communicates results back to the Snyk platform. This integration ensures that dependency vulnerabilities are detected early in the Build and Test stage.


NEW QUESTION # 12
Bruce Altman is a DevSecOps engineer at a web application development company named TechSoft Pvt. Ltd. Due to robust security features provided by Microsoft Azure, in January of
2020, his organization migrated all the workloads from on-prem to Azure. Using Terraform configuration management tool, Bruce created a resource group and virtual machine (VM) in Azure; he then deployed a web application in the VM. Within an hour, Bruce's team leader informed him that he detected various security issues in the application code and asked him to destroy the infrastructure that he has created in Microsoft Azure using Terraform. Which of the following commands can Bruce use to destroy the infrastructure created using Terraform?

Answer: C

Explanation:
Terraform provides the terraform destroy command to remove all infrastructure resources defined in the Terraform configuration files. This command safely tears down resources such as virtual machines, networks, and resource groups by consulting the state file and executing destruction in the correct dependency order. Commands like terraform kill, terraform kill-infra, and terraform destroy-infra do not exist in Terraform's CLI. Using terraform destroy during the Release and Deploy stage allows DevSecOps teams to quickly remediate risk by removing insecure or non- compliant infrastructure, reinforcing the importance of Infrastructure as Code and controlled lifecycle management.


NEW QUESTION # 13
A technology firm specializing in financial services has integrated Fortify Static Code Analyzer (SCA) with Jenkins to enforce secure coding practices within its CI/CD pipeline. The objective is to identify and remediate vulnerabilities early in the development lifecycle. After a recent build, the security team noticed that critical vulnerabilities were not flagged, despite Fortify SCA being executed within the pipeline. Jenkins logs confirmed that the scan completed successfully without any errors. However, when the security team manually executed Fortify SCA on the same codebase outside of Jenkins, multiple vulnerabilities were detected. Which of the following is the reason for the discrepancy in vulnerability detection?

Answer: D

Explanation:
Since Fortify SCA completed 'successfully' in Jenkins and manual scans found the vulnerabilities, the discrepancy lies in how Jenkins handled the results: the post-build actions were misconfigured, so scan results were not properly retrieved, parsed, or published-meaning critical findings never surfaced in the pipeline. An updated rulepack would affect manual runs equally, and network/plugin incompatibility would cause scan errors, which were absent.


NEW QUESTION # 14
A DevSecOps team is working on an Azure DevOps project and wants to enhance security by configuring GitHub Advanced Security (GHAS). One of their primary concerns is the accidental exposure of sensitive information-such as API keys, credentials, and other confidential data-when developers push code to the repository. To mitigate this risk, the team is looking for a solution that can automatically detect and block sensitive information before it gets committed, ensuring that such data never reaches the repository. Which GHAS feature should the team enable to achieve this level of protection?

Answer: A

Explanation:
Secret Scanning Push Protection in GitHub Advanced Security scans pushes for secrets (API keys, credentials) and blocks the push before sensitive data ever reaches the repository-precisely the preventive control the team wants. Code scanning and dependency scanning analyze code and dependencies after push, and repository onboarding is a setup process, not a protection feature.


NEW QUESTION # 15
A healthcare organization recently suffered a security breach due to an exposed SSH key in one of its public Git repositories. To prevent similar incidents, the DevSecOps team decides to enforce a security mechanism that blocks sensitive information such as private keys and authorization tokens from being committed at the source. What is the best approach to achieve this?

Answer: D

Explanation:
Using a repository hook (a pre-commit or pre-push hook, e.g., via tools like git-secrets or Talisman) scans changes at the source and blocks the commit or push when sensitive data such as SSH private keys or tokens is detected. This prevents secrets from ever entering the repository history. Encrypting commits is impractical for collaboration, and reviewing output or relying on endpoint tools after the commit is too late, since the secret is already in the repository.


NEW QUESTION # 16
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